In the past two decades, the rise of social media platforms
(e.g.,
Twitter)
has brought dramatic changes to human society, especially in the area of mass communication and commercial marketing.
To better utilize
the power of social networks, many researchers turn to the study of influence maximization (IM) [1]}, [2]}, [3]},
which aims to select a set of influential users with a given budget to
achieve
the maximum information spread in a social network. To fit with different practical application scenarios, several variants of the IM problem have been investigated recently, including Topic-aware IM [4]}, [5]}, Time-aware IM [6]}, [7]}, [8]},
Community-aware IM [9]}, [10]}, [11]}, Competitive IM [12]}, [13]}, [14]}, Multi-strategies IM [15]}, [16]}, and IM with semi-bandit [17]}, [18]}, [19]}, [20]}.
